COMputational Models FOR patienT stratification in urologic cancers – Creating robust and trustworthy multimodal AI for health care
The COMFORT research project aims to improve the health and well-being of people affected by prostate cancer (PCa) and kidney cancer (KC). To achieve this goal, COMFORT is developing a cutting-edge decision support system that uses artificial intelligence (AI) and data-driven insights to assist medical professionals in delivering better care. The innovative tool is being developed in line with Europe’s Beating Cancer Plan and leverages the potential of new machine learning and eHealth tools. The four-year project is divided into three stages: data collection and preparation, development of trustworthy AI models, and deployment in a real-world clinical setting. A strength of COMFORT is its access to multiple sources of medical data, including the largest expert-annotated database for PCa and KC to date. The project strives to develop transparent and accurate computational models by integrating complex multimodal health data. The overall goal of COMFORT is to develop and deploy marketable data-driven multimodal decision support systems. These systems will improve clinical prognosis, patient stratification, and individual therapy for patients suffering from PCa or KC. This will define a new state-of-the-art for the development of multimodal medical AI applications.
- PD Dr med Keno BressemCharité – Universitätsmedizin BerlinEmail